College of Pharmacy, Jiamusi University, Jiamusi 154007, People's Republic of China.
College of Pharmacy, Jiamusi University, Jiamusi 154007, People's Republic of China.
Talanta. 2018 Mar 1;179:37-42. doi: 10.1016/j.talanta.2017.10.055. Epub 2017 Oct 26.
Bisphenol A (BPA) is a highly toxic chemical, and its residue in milk product is threatening people's health due to its possible leaching from the packagings and cans with BPA coating. In this work, halides modified Au nanoparticles (NPs) as the modification substrates were first designed for rapid and sensitive determination of BPA residue in real milk by SERS method with the assistance of aggregation agents (Zn). It can be concluded that Au NPs modification substrate with assistance of the aggregation agent can remarkably improve the detection sensitivity of BPA residue, which can significantly enhance the SERS signal of BPA and achieve the trace-level detection of BPA residue. Under the optimal conditions, the limit of detection of BPA residue can be as low as to 4.3 × 10mol/L (equal to 0.98 × 10mg/kg), which is much less than the standard of European Union (0.6mg/kg). And, there is a good linear relationship (R = 0.990) between the intensity of SERS signal and the logarithm of BPA concentration in the range of 1.0 × 10-1.0 × 10mol/L. By this method, the recovery of BPA residue ranges from 89.5% to 100.2% with relative standard deviation between 4.6% and 2.7%. The proposed SERS method proves to be reliable, highly sensitive and possesses good reproducibility, which is very promising for sensitive detection of bisphenols residue in foodstuff.
双酚 A(BPA)是一种剧毒化学物质,其在奶制品中的残留会对人体健康造成威胁,因为它可能会从含有 BPA 涂层的包装和罐头中浸出。在这项工作中,首先设计了卤化物修饰的 Au 纳米粒子(NPs)作为修饰基底,通过 SERS 方法在聚集剂(Zn)的协助下,快速灵敏地测定实际牛奶中的 BPA 残留。可以得出结论,Au NPs 修饰基底在聚集剂的协助下可以显著提高 BPA 残留的检测灵敏度,从而显著增强 BPA 的 SERS 信号,实现 BPA 残留的痕量检测。在最佳条件下,BPA 残留的检测限低至 4.3×10-10mol/L(相当于 0.98×10mg/kg),远低于欧盟的标准(0.6mg/kg)。并且,SERS 信号的强度与 BPA 浓度的对数在 1.0×10-1.0×10mol/L 范围内呈良好的线性关系(R=0.990)。通过该方法,BPA 残留的回收率在 89.5%到 100.2%之间,相对标准偏差在 4.6%到 2.7%之间。该 SERS 方法具有较高的灵敏度和良好的重现性,可用于食品中双酚类残留的灵敏检测,具有广阔的应用前景。